Rent in the Cloud or Own Your AI-Stack?
When deploying AI, organizations must invest in dedicated infrastructure or rely on cloud-based solutions. Each approach has its advantages and challenges. This section explores the key considerations to help you make the best decision for your needs.
DRIVE YOUR OWN AI DESTINY.
When Cloud Convenience Becomes a Challenge.
Cloud-based
For experimentation, flexibility and quick access.
Owned AI Stacks
For souvereignity, cost control, performance, and sustainability.
Cloud Challenges.
Performance
Shortfalls
Unpredictable latencies and resource constraints can hinder
AI workloads.
Hidden Costs
Additional costs from storage, data transfer, and scaling inflate budgets unexpectedly.
Compliance Concerns
Entrusting sensitive data to third-party providers can pose compliance and governance challenges
Complexity
Managing diverse tools and fragmented projects across cloud environments can complicate operations.
Owned AI Stack Benefits.
Enhanced Control
Customized infrastructure to meet specific requirements and ensure seamless integration.
Predictable Costs
Transparent costs allow for accurate budgeting without unforeseen surprises.
Optimize Performance
Well orchestrated, dedicated resources ensure high performance, meeting demanding processing needs.
Sustainability
Adopt energy-efficient solutions for long-term environmental benefits.
Making the right choice.
Despite its convenience, cloud adoption brings rising costs, sovereignty issues, and performance limits as AI scales. Owning your infrastructure ensures sovereignty, predictable costs, and optimized performance. The best choice depends on your needs—we offer a factual benchmark to assess the impact.
“If a start-up under two years old can bring the latest supercomputers to the Netherlands and take full control of AI models, then other companies can do it too. But it requires vision and courage to take this step.”
Thomas Kluiters, co-founder Juvoly
Unlock the facts—compare rental vs. ownership for AI
Your AI, Your Way